What is Artificial Entrepreneurship? The Influence of AI for the Creative Destruction of Schumpeter
Year: 2025
Type: article
Abstract: Artificial Intelligence (AI) is revolutionising the economy and society by automating processes, driving innovation and enabling new business models, leading to a significant increase in productivity and competitiveness. Until now, the aspect of "Innovation Development" has always been assigned to Humans as Entrepreneurs (or Intrapreneurs), but in the course of AI-Development, the question must increasingly be asked whether AI will not only take on a passive support role in this field but also an active development and decision-making role. Against this background, there is a growing need for research in the field of “Human versus Machine” for driving innovation and enabling new business models. (Human) Entrepreneurs are characterised by recognising, evaluating and exploiting entrepreneurial opportunities. According to Schumpeter's understanding, the "Human Entrepreneur" appears in particular as an innovator by developing innovative ideas through their creative power and establishing them on the market. To do this, they must make entrepreneurial decisions based on the available information and data. However, this decision-making process based on information or data is increasingly being taken over by Artificial Intelligence, which is much more powerful in handling this information or data. However, what happens when Artificial Intelligence not only supports the decision-making process of a "Human Entrepreneur" in a formative way but also takes it over as an "Artificial Entrepreneur" based on its own transformative creativity? The aim of the following article is to conceptually describe the prerequisites for the takeover of creative destruction by a machine in the sense of Schumpeter. The result is the development of a Framework which forms the basis for a new field of research: "Artificial Entrepreneurship".
Source: Research & Development
Author: Tobias Kollmann
Institution: University of Duisburg-Essen
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409054870